Algorand Probability Of Bankruptcy

ALGO
 Crypto
  

USD 0.24  0.01  4.00%   

Algorand Probability Of Bankruptcy is used to show its chance of financial distress over the next two years of operations under current economic and market conditions. Algorand Probability Of Bankruptcy is determined by interpolating and adjusting Algorand Altman Z Score to account for off-balance-sheet items and missing or unfiled public information. All items used in analyzing the odds of distress are taken from the Algorand balance sheet as well as cash flow and income statements available from the company's most recent filings. Please continue to Algorand Piotroski F Score and Algorand Altman Z Score analysis.
  

Algorand Probability Of Bankruptcy Analysis

Algorand's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
Probability Of Bankruptcy 
 = 
Normalized 
 
Z-Score 
More About Probability Of Bankruptcy | All Equity Analysis

Current Algorand Probability Of Bankruptcy

    
  32%  
Most of Algorand's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Algorand is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Algorand probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Algorand odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Algorand financial health.
Please note, there is a significant difference between Algorand's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine Algorand value by looking at such factors as its true mass adoption, usability, application, safety as well as its ability to resist fraud and manipulation. On the other hand, Algorand's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of crypto prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.

Based on the latest financial disclosure, Algorand has a Probability Of Bankruptcy of 32.0%. This is much higher than that of the Blockchain sector and significantly higher than that of the Cryptocurrency industry. The probability of bankruptcy for all United States cryptos is notably lower than that of the firm.

Algorand Probability Of Bankruptcy Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Algorand's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the crypto coins which would be a good addition to a portfolio. Peer analysis of Algorand could also be used in its relative valuation, which is a method of valuing Algorand by comparing valuation metrics of similar companies.
Algorand cannot be rated in Probability Of Bankruptcy category at this point.

About Algorand Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Algorand's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Algorand using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Algorand based on its fundamental data. In general, a quantitative approach, as applied to this cryptocurrency, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Algorand is peer-to-peer digital currency powered by the Blockchain technology.
Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Algorand in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.

Pair Trading with Algorand

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Algorand position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Algorand will appreciate offsetting losses from the drop in the long position's value.

Moving together with Algorand

+0.65XRPXRPPairCorr
The ability to find closely correlated positions to Algorand could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Algorand when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Algorand - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Algorand to buy it.
The correlation of Algorand is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Algorand moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Algorand moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Algorand can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Please continue to Algorand Piotroski F Score and Algorand Altman Z Score analysis. Note that the Algorand information on this page should be used as a complementary analysis to other Algorand's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Analyst Recommendations module to analyst recommendations and target price estimates broken down by several categories.

Other Tools for Algorand Crypto Coin

When running Algorand price analysis, check to measure Algorand's coin volatility and technical momentum indicators. We have many different tools that can be utilized to determine how healthy Algorand is operating at the current time. Most of Algorand's value examination focuses on studying past and present price actions to predict the probability of Algorand's future price movements. You can analyze the coin against its peers and the financial market as a whole to determine factors that move Algorand's coin price. Additionally, you may evaluate how adding Algorand to your portfolios can decrease your overall portfolio volatility.
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